/*
 * Javlov - a Java toolkit for reinforcement learning with multi-agent support.
 * 
 * Copyright (c) 2009 Matthijs Snel
 * 
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */
package net.javlov;

public abstract class AbstractOption implements Option {

	private static int counter = 0;
	private int id;
	
	protected boolean finished = false;
	protected String name;

	protected AbstractOption() {
		this(null);
		setName(getClass().getName());
	}

	protected AbstractOption(String name) {
		id = counter++;
		setName(name);
	}
	
	public String getName() {
		return name;
	}

	public void setName(String name) {
		this.name = name;
	}

	/**
	 * @inheritDoc
	 */
	@Override
	public int getID() {
		return id;
	}

	/**
	 * @inheritDoc
	 * 
	 * Always returns true.
	 */
	@Override
	public <T> boolean isEligible(State<T> s) {
		return true;
	}

	@Override
	public void setFinished() {
		finished = true;
	}

	/**
	 * @inheritDoc
	 */
	@Override
	public void setID(int id) {
		this.id = id;
	}

	/**
	 * Does nothing.
	 */
	@Override
	public void init() {}

	/**
	 * Does nothing.
	 */
	@Override
	public void reset() {}


	@Override
	public String toString() {
		return name;
	}

	@Override
	public boolean isFinished() {
		return finished;
	}

}